CN108414094B - Labview-based laser beam analysis system and method - Google Patents
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Abstract
The invention relates to the technical field of laser beam analysis, and provides a laser beam analysis system based on Labview. A laser beam analysis method based on Labview is also provided. The camera identification module is used for controlling the camera, the image parameter calculation processing module is used for calculating parameters, the parameter counting module is used for counting, and the image storage module is used for automatically generating a report with a software screenshot, so that the test workload can be reduced, and the test time can be shortened; the system has low development cost, can reduce the production cost if replacing outsourcing software, and has perfect functions and easy maintenance.
Description
Technical Field
The invention relates to the technical field of laser beam analysis, in particular to a laser beam analysis system and method based on Labview.
Background
Beam analysis is of great interest in the field of laser-related testing, manufacturing, welding and cutting. With the continuous development of the production and manufacturing industry, the laser is more and more widely used. For example, the stability of the laser marking head can be indirectly measured by measuring the stability of the coordinates of the light spots; in the optical field, the analysis of the focused light spot can be used for evaluating the effect of a lens or a designed optical system on a light beam, and guidance is provided for the quality improvement of a product; in the fields of laser marking, cutting and welding of various plastics, glass, metal and other materials such as mobile phone shells, toys and the like, the quality of laser spots needs to be analyzed in advance to improve the process or the yield and the like.
At present, foreign systems are mostly adopted for light beam analysis, and the price is high. In addition, during testing, a tester needs to manually capture a picture and write a test report by himself, and the test is tedious.
Disclosure of Invention
The invention aims to provide a laser beam analysis system and method based on Labview, which has the advantages of low cost, complete functions, easy maintenance, camera control, parameter calculation and statistic functions, can automatically generate a report with a software screenshot, can reduce the test workload and shorten the test time.
In order to achieve the above purpose, the embodiments of the present invention provide the following technical solutions: a laser beam analysis system based on Labview comprises a camera identification module, an image capture processing module, an image storage module, an image parameter calculation processing module and a parameter statistical module;
the camera identification module is used for identifying a connected or newly connected camera in the process of starting or running a program and providing the camera for a user to select;
the image capture processing module is used for reading pictures to generate light spot image data or acquiring light spot images from the camera according to whether the image reading mode is started;
the image storage module is used for storing the light spot images acquired by the image capture processing module independently or continuously, performing automatic screenshot on the independent light spot images and storing the continuously generated light spot images into a video;
the image parameter calculation processing module is used for calculating the light spot parameters of the image;
and the parameter counting module is used for recording and counting the light spot parameters and storing the light spot parameters.
Further, a program initialization module is included for reading and applying the saved configuration at the beginning of the analysis.
And further, the system also comprises a serial number management module which is used for reading and verifying the serial number of the selected camera.
The system further comprises a camera initialization module, wherein the camera initialization module is used for initializing the state of the selected camera and performing initialization gain and exposure.
And the expansion module is used for locally amplifying the intensity distribution curves of the two axes of the display image and the observation light spot.
The embodiment of the invention provides another technical scheme: a laser beam analysis method based on Labview comprises the following steps:
s1, performing binarization processing on the light spot image acquired from the camera to obtain the centroid and the peak value of the image; sampling the pixel values of the images for multiple times, averaging to obtain the average pixel value of the images, and subtracting the average pixel value of the images from the pixel values of all the images before displaying to eliminate noise;
s2, after the display, selecting the ROI area in a frame, wherein the selected frame can be dragged and changed in size so as to facilitate the calculation of parameters in the following steps;
s3, in the framed ROI area, the central position of the light spot of the image is determined by taking the center of mass as the central position, taking the peak value as the central position or by a manual selection mode, and when the central position is determined by the manual selection mode, the point to be set as the center is directly selected by right-clicking the target position or performing right-key dragging nearby;
s4, after the central position is determined, an image storage module is adopted to store the light spot image;
and S5, automatically capturing the single light spot image, storing the continuously generated light spot image into a video, and calculating the light spot parameters of the image according to the stored light spot image.
Further, when parameters of the framed ROI are calculated, a calculation area is manually selected, pulse widths of horizontal and vertical coordinate axes where the center position of the selected area is located are calculated, a centroid or a peak value is used as a geometric center, a plurality of times of the pulse widths of the horizontal and vertical coordinate axes are respectively used as the length and the width to serve as a free area, and an image of the free area is intercepted to serve as an actual calculation area to calculate the parameters.
Further, the specific steps of calculating the parameters in the step S5 are as follows:
s50, obtaining the rotation angle and the peak width of the light spot;
s51, rotating the image without losing pixel information and converting the image into an array;
s52, calculating the energy width of the light beam according to the array;
s53, the ellipticity or amplitude of the light beam is determined.
Further, a specific method of obtaining the rotation angle is:
s500, if the manual selection mode is adopted in the step S3, setting the manually set angle as the rotation angle, otherwise, performing the following steps;
s501, calculating the central position coordinate of the selected area, wherein when the selected central position is a mass point, the central position coordinate of the selected area is calculated by directly using a mass point solving function, when the selected central position is a peak value, the image is firstly converted into an array, then binarization processing is carried out by using the maximum value as a threshold value, and then the central position coordinate of the selected area is calculated by using a mass center solving function;
s502, setting a line segment on the image by taking the selected central position as a midpoint, and extracting the intensity value of the line segment covering the pixel point to obtain the radial intensity distribution array of the light spot;
s503, solving the range of pixel points with the intensity being 0.135 times greater than the peak value in the line segment, namely obtaining the pixel width of the light spot;
s504, according to the angle of the line segment, the width of the returned light spot pixel is converted into the actual length corresponding to the light spot image, and the conversion relation is as follows:
wherein, theta is the rotation angle of the line segment, Deltax and Delay are the pixel sizes of the camera in the x and y directions, and l is the pixel width; l is the actual pulse width;
s505, setting a plurality of rotation angles at intervals in an interval of 0-180 degrees, and repeating the steps S502-S504;
s506, obtaining different actual lengths from the different rotation angles, comparing all the actual lengths, finding out the angle corresponding to the two adjacent maximum values, taking the two angles as an interval, further taking the angle with a smaller interval in the middle, and taking the angle corresponding to the maximum value as the final rotation angle.
Further, in S5, the spot parameters may also be calculated in the horizontal and vertical axes, specifically: the intensity distribution curves of the major and minor axes of the light spot are placed in a separate window and the window is divided into two panes for displaying the distribution curves, and the two panes are displayed in alignment to see the specific numerical values by observing whether they are consistent.
Compared with the prior art, the invention has the beneficial effects that:
1. the camera is controlled by the camera identification module, the parameter calculation is carried out by the image parameter calculation processing module, the statistics is carried out by the parameter statistics module, and the report with the software screenshot is automatically generated by the image storage module, so that the test workload can be reduced, and the test time can be shortened; the system has low development cost, can reduce the production cost if replacing outsourcing software, and has perfect functions and easy maintenance.
2. When an image is displayed, the ROI can be directly selected at any time, and the selected area can be dragged and changed in size at will, so that the operation is more convenient compared with other software.
3. The mass center, the peak value or manual operation can be selected according to the requirement, and the operation is flexible and changeable; the selection is manual, the user can directly select the mouse through right click or right key movement of the mouse, the original central position does not need to be found and then dragged, and the operation is more convenient.
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FIG. 1 is a block diagram of a Labview-based laser beam analysis system according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps of a Labview-based laser beam analysis method according to an embodiment of the present invention;
FIG. 3 is a diagram of a Labview-based laser beam analysis system, a camera, and a computer according to an embodiment of the present invention;
fig. 4 is a comparative view of a pane display in step S5 of the Labview-based laser beam analysis method according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the invention provides a laser beam analysis system based on Labview, which includes a camera recognition module, an image capture processing module, an image storage module, an image parameter calculation processing module, and a parameter statistics module. The camera identification module is used for identifying a connected or newly connected camera in the process of starting or running a program, providing the user with the choice, and setting that only a camera with a specified model can be opened; the image capture processing module is used for reading pictures to generate light spot image data or acquiring light spot images from the camera according to whether the picture reading mode is started or not, and can also eliminate image noise when the camera light spot images are acquired; the image storage module is used for storing the light spot images acquired by the image capture processing module independently or continuously, carrying out automatic screenshot on the independent light spot images and storing the continuously generated light spot images into a video; the image parameter calculation processing module is used for calculating the light spot parameters of the image and adding marks such as cross lines, square frames and the like to the image; and the parameter counting module is used for recording and counting the light spot parameters in real time and storing the light spot parameters, and the accuracy and timeliness of recording can be ensured by adopting real-time recording. In the embodiment, the camera is controlled by the camera identification module, the parameter calculation is performed by the image parameter calculation processing module, the statistics is performed by the parameter statistics module, and the report with the software screenshot is automatically generated by the image storage module, so that the test workload can be reduced, and the test time can be shortened; the system has low development cost, can reduce the production cost if replacing outsourcing software, and has perfect functions and easy maintenance.
Referring to fig. 1 as an optimization scheme of the embodiment of the present invention, the system further includes a program initialization module, where the program initialization module is configured to read and apply the saved configuration at the beginning of the analysis.
Referring to fig. 1 as an optimized solution of the embodiment of the present invention, the system further includes a serial number management module and a camera initialization module, where the serial number management module is configured to read and verify a serial number of a selected camera, and the camera initialization module is configured to initialize a state of the selected camera and perform initialization gain and exposure, where the selected camera is a camera that passes serial number verification.
As an optimization scheme of the embodiment of the present invention, please refer to fig. 1, the system further includes an expansion module, specifically, a small light spot display module and an xy display module, which are respectively used for locally magnifying a display image and observing an intensity distribution curve of two axes of the light spot.
As shown in fig. 3, the system is disposed in a computer 4, a laser light source 1 to be measured is focused by a focusing lens 2 and then enters a camera 3 with an attenuation sheet, and then the camera transmits the focused laser light to the computer 4, and the system in the computer 4 performs beam analysis on the laser light source 1 to be measured to calculate spot parameters. The whole structure framework is simple, and meanwhile, the system is low in cost and easy to popularize and use.
The embodiment of the present invention provides a laser beam analysis method based on Labview (a program development environment), please refer to fig. 2, which includes the following steps: s1, obtaining the centroid and peak value of the image by binarization processing, specifically, when calculating the peak value center, binarization processing with the maximum intensity as the threshold value, then obtaining the centroid of the image, when the intensity distribution of the spot center is flat, calculating the peak value by the algorithm, and obtaining a point which is more in line with the geometric center; the pixel values of the images are sampled and averaged for a plurality of times to obtain the pixel values of the averaged images, for example, 10 times of sampling and averaging can be performed, and the pixel values of the averaged images are subtracted from the pixel values of all the images before displaying so as to eliminate noise; s2, when displaying, the ROI area (region of interest) can be directly selected at any time, and the selected box can be dragged and changed in size at any time, so as to be convenient for the calculation of parameters in the following steps; s3, determining the central position of the light spot of the image by taking the center of mass as the central position, taking the peak value as the central position or by a manual selection mode, and directly selecting the point to be set as the center at any time by right-clicking the target position or performing right-key dragging nearby when the central position is determined by the manual selection mode; s4, after the central position is determined, selecting an image storage module to store the light spot images, automatically capturing the independent light spot images, and storing the continuously generated light spot images into a video; and S5, calculating the spot parameters of the image through the saved spot images. In this embodiment, in storing the light spot image, the stored picture is supported to be the light spot image or the software screenshot, and whether the parameters include color levels, mark lines and the like can be set, and the stored picture can also be stored as a video, which is convenient for continuous observation. In addition, in this embodiment, the stored spot pictures can be directly read and parameters can be calculated, PNG, JPEG, and BMP formats are supported, and files in additional formats are not required to store data. The interface of the software has an appearance which is designed independently, controls for controlling the camera and setting calculation parameters are placed under different tabs according to function division, button controls which need to pop up additional windows such as images and statistical parameters are placed under the main display control, the interface of the software is simple, sub-windows can be directly opened or placed at the top end through buttons, and a plurality of windows can be conveniently managed.
As an optimization scheme of the embodiment of the invention, when the parameters of the ROI selected by the frame are calculated, a calculation region is manually selected, the pulse widths of the horizontal and vertical coordinate axes of the central position of the selected region are calculated according to the set type, the centroid or the peak value is taken as the geometric center, a plurality of times of the pulse widths of the horizontal and vertical coordinate axes are respectively taken as the length and the width to be taken as a free region, and the image of the free region is intercepted to be taken as the actual calculation region to calculate the parameters. In the embodiment, the automatic calculation region is generated according to the selected region, so that the calculation result is more stable and accurate. When the spot is located within the manually selected area, the automatically calculated area will follow the spot and multiple calculated areas can be selected for analysis of the multi-spot condition. In this embodiment, the center point of the calculation is not the center point in the final calculation parameters.
As an optimization scheme of the embodiment of the present invention, the specific steps of calculating the parameters in the step S5 are as follows: s50, obtaining the rotation angle and the peak width of the light spot; s51, rotating the image without losing pixel information and converting the image into an array; s52, calculating the energy width of the light beam according to the array; s53, other parameters such as ellipticity and amplitude of the light beam are obtained.
Further optimizing the above scheme, the specific method for obtaining the rotation angle is as follows: s500, if the manual selection mode is adopted in the step S3, setting the manually set angle as the rotation angle, otherwise, performing the following steps; s501, calculating the central position coordinate of the selected area, wherein when the selected central position is a mass point, the central position coordinate of the selected area is calculated by directly using a mass point solving function, when the selected central position is a peak value, the image is firstly converted into an array, then binarization processing is carried out by using the maximum value as a threshold value, and then the central position coordinate of the selected area is calculated by using a mass center solving function; if the image is a manual central point, directly returning the selected coordinate, wherein the coordinate can be obtained by randomly selecting on the image through a right mouse button in a manual mode; s502, setting a line segment with a sufficient length and an angle θ (vertical direction, and the angle θ in this direction is 0 degree) on the image with the selected center position (centroid, peak value, or manual position) as a midpoint, and extracting intensity values of the line segment covering the pixel points, i.e. obtaining a sequence of intensity distributions in the radial direction of the light spot; s503, calculating the range of pixel points with the intensity greater than 0.135 times (threshold value) of the peak value in the line segment, namely obtaining the pixel width of the light spot, wherein the calculation method comprises the following steps: traversing the number series from two sides of the distribution curve to the middle, comparing the number series with a threshold value, subtracting the first element index which is larger than or equal to the threshold value from the two sides of the distribution curve, and if the output is smaller than 0, returning the general length of the number series; s504, according to the angle of the line segment, the width of the returned light spot pixel is converted into the actual length corresponding to the light spot image, and the conversion relation is as follows:
wherein, theta is the rotation angle of the line segment, the segment interval in the above formula is based on the calculation accuracy of 1 degree, if the calculation accuracy changes, the segment interval is changed, but the segment interval is ensured to be respectively located in 4 intervals which are equally divided from 0 to 180 degrees; Δ x and Δ y are pixel sizes of the camera in x and y directions, and since the selected pixel of the camera is square, the pixel is regarded as 1 in the program and is omitted, and the work of unit conversion is handed to the subsequent processing; l is the pixel width; l is the actual pulse width; s505, setting a plurality of rotation angles at intervals in an interval of 0-180 degrees, and repeating the steps S502-S504; s506, obtaining different actual lengths from the different rotation angles, comparing all the actual lengths, finding out the angle corresponding to the two adjacent maximum values, taking the two angles as an interval, further taking the angle with a smaller interval in the middle, and taking the angle corresponding to the maximum value as the final rotation angle. In the present embodiment, since the calculation content is the diameter, the above steps can cover all the angle ranges.
As an optimization scheme of the embodiment of the present invention, S5 may also calculate the spot parameters in the horizontal and vertical coordinate axes, specifically: the intensity distribution curves of the major and minor axes of the light spot are placed in a separate window and the window is divided into two panes for displaying the distribution curves, and the two panes are displayed in alignment to see the specific numerical values by observing whether they are consistent. In this embodiment, two cursors can be added to help view specific values. As shown in fig. 4, the window is divided into two panes for displaying the distribution curve, the horizontal axis scales of the upper and lower two panes have the same range, the centers are aligned (namely, the light spots or the selected central points), and can be synchronously adjusted (through a horizontal sliding rod or a lower numerical value input window), and the two cursors can respectively view the coordinates and the amplitude in real time. The cursor is moved to the origin of the transverse shaft through the reset button, so that the cursor can be conveniently and quickly found back when the cursor is out of the display range; four check boxes control the display of the cursor.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. A laser beam analysis method based on Labview is characterized by comprising the following steps:
s1, performing binarization processing on the light spot image acquired from the camera to obtain the centroid and the peak value of the image; sampling the pixel values of the images for multiple times, averaging to obtain the average pixel value of the images, and subtracting the average pixel value of the images from the pixel values of all the images before displaying to eliminate noise;
s2, after the display, selecting the ROI area in a frame, wherein the selected frame can be dragged and changed in size so as to facilitate the calculation of parameters in the following steps;
s3, in the framed ROI area, the central position of the light spot of the image is determined by taking the center of mass as the central position, taking the peak value as the central position or by a manual selection mode, and when the central position is determined by the manual selection mode, the point to be set as the center is directly selected by right-clicking the target position or performing right-key dragging nearby;
s4, after the central position is determined, an image storage module is adopted to store the light spot image;
and S5, automatically capturing the single light spot image, storing the continuously generated light spot image into a video, and calculating the light spot parameters of the image according to the stored light spot image.
2. The Labview-based laser beam analysis method of claim 1, wherein: when the parameters of the ROI selected by the frame are calculated, a calculation region is manually selected, the pulse widths of the horizontal and vertical coordinate axes where the central position of the selected region is located are calculated, the centroid or the peak value is taken as the geometric center, a plurality of times of the pulse widths of the horizontal and vertical coordinate axes are respectively taken as the length and the width to be taken as the free region, and the image of the free region is intercepted to be taken as the actual calculation region to calculate the parameters.
3. The Labview-based laser beam analysis method of claim 1, wherein the parameters in the step S5 are calculated by the following steps:
s50, obtaining the rotation angle and the peak width of the light spot;
s51, rotating the image without losing pixel information and converting the image into an array;
s52, calculating the energy width of the light beam according to the array;
s53, the ellipticity or amplitude of the light beam is determined.
4. The Labview-based laser beam analysis method of claim 3, wherein the specific method for determining the rotation angle is as follows:
s500, if the manual selection mode is adopted in the step S3, setting the manually set angle as the rotation angle, otherwise, performing the following steps;
s501, calculating the central position coordinate of the selected area, wherein when the selected central position is a mass point, the central position coordinate of the selected area is calculated by directly using a mass point solving function, when the selected central position is a peak value, the image is firstly converted into an array, then binarization processing is carried out by using the maximum value as a threshold value, and then the central position coordinate of the selected area is calculated by using a mass center solving function;
s502, setting a line segment on the image by taking the selected central position as a midpoint, and extracting the intensity value of the line segment covering the pixel point to obtain the radial intensity distribution array of the light spot;
s503, solving the range of pixel points with the intensity being 0.135 times greater than the peak value in the line segment, namely obtaining the pixel width of the light spot;
s504, according to the angle of the line segment, the width of the returned light spot pixel is converted into the actual length corresponding to the light spot image, and the conversion relation is as follows:
wherein, theta is the rotation angle of the line segment, Deltax and Delay are the pixel sizes of the camera in the x and y directions, and l is the pixel width; l is the actual pulse width;
s505, setting a plurality of rotation angles at intervals in an interval of 0-180 degrees, and repeating the steps S502-S504;
s506, obtaining different actual lengths from the different rotation angles, comparing all the actual lengths, finding out the angle corresponding to the two adjacent maximum values, taking the two angles as an interval, further taking the angle with a smaller interval in the middle, and taking the angle corresponding to the maximum value as the final rotation angle.
5. The Labview-based laser beam analysis method of claim 1, wherein the S5 is further configured to calculate spot parameters in the horizontal and vertical axes, specifically: the intensity distribution curves of the major and minor axes of the light spot are placed in a separate window and the window is divided into two panes for displaying the distribution curves, and the two panes are displayed in alignment to see the specific numerical values by observing whether they are consistent.
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| CN111091598B (en) * | 2019-12-20 | 2023-08-25 | 武汉华工激光工程有限责任公司 | Multi-light spot synchronous measurement and analysis method and device |
| CN111855158A (en) * | 2020-07-31 | 2020-10-30 | 武汉华工激光工程有限责任公司 | Multi-spot light beam analysis method and device |
| CN113894438B (en) * | 2021-09-30 | 2023-06-30 | 上海柏楚电子科技股份有限公司 | Method and system for detecting quality of laser beam |
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| CN108414094A (en) | 2018-08-17 |
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